Nov 23, 2024 “Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models” was accepted in ACM/SIGAPP Symposium On Applied Computing (SAC) ! Nov 21, 2024 “Hierarchical Contrastive Learning with Multiple Augmentations for Sequential Recommendation” was accepted in ACM/SIGAPP Symposium On Applied Computing (SAC) ! Jun 18, 2024 “DiffInject: Revisiting Debias via Synthetic Data Generation using Diffusion-based Style Injection” was accepted at the IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2024 Workshop in SynData4CV ! Mar 01, 2024 “Retrieval-Based Disease Prediction for Myocardial Injury after Noncardiac Surgery: Leveraging Language Models as Diagnostic Tools” was accepted at the AAAI 2024 Spring Symposium on Clinical Foundation Models in Stanford University, Stanford, California (Poster)! Dec 07, 2023 “Self-Interactive Attention Netwroks via Factorization Machinces for Click-Through Rate Prediction” was presented at the ISIS 2023 international conference (Oral)! and won the best paper award. Nov 27, 2023 A patent “Elevating CTR Prediction: Field Interaction, Global Context Integration, and High-Order Representations” have been accepted in ACM/SIGAPP Symposium On Applied Computing (SAC) ! Nov 03, 2023 A patent “순차적 추천을 위한 계층적 대조 학습 방법 및 계층적 대조 학습 장치” have been filed in Korea. Oct 23, 2023 “AmpliBias: Mitigating Dataset Bias through Bias Amplification in Few-Shot Learning for Generative Models” was presented at the CIKM 2023 international conference in Birmingham (Poster)! Jul 24, 2023 “How Important is Periodic Model Update in Recommender System?” was presented at the international conference SIGIR 2023 in Taipei (Oral)!